Artificial Neural Networks – Introduction Artificial Neural networks (ANN) or neural networks are computational algorithms. It intended to simulate the behavior of biological systems composed of “neurons”. ANNs are computational… Read More »Artificial Neural Network (ANN) in Machine Learning
Contributed by Dina Mirijanian. Chronic diseases, such as heart disease, cancer and diabetes are among the most common and costly health problems. According to the Center… Read More »Chronic Diseases and the Emphasis on Prevention
A long, long time ago (maybe 10 years) the data analytics industry was fairly easy to define and track. Back in that pre-historic era SAS… Read More »Public Data Analytics Companies – who's winning (and not)?
This article was written by Melissa Bierly. If you use Excel at work, you’re probably frustratingly familiar with this dialog box: You’ve probably also worked… Read More »How to Make the Leap from Excel to SQL
The Deep Learning textbook is a resource intended to help students and practitioners enter the field of machine learning in general and deep learning in… Read More »Free Deep Learning Book (MIT Press)
In the last couple of years, the gig economy has continued to rise and especially in the American job market where workers take on two… Read More »How Agile Methodology Is Helping the Gig Economy Gain Momentum
Augmented reality (AR) means amplified reality with graphics, sounds, haptic feedback and smell to the natural world as it exists. Virtual objects and information are… Read More »How Augmented Reality is improving Digital Age!!
Augmented reality (AR) means amplified reality with graphics, sounds, haptic feedback and smell to the natural world as it exists. Virtual objects and information are… Read More »How Augmented Reality is improving Digital Age!
Data science can be a lucrative career path, with plenty of opportunities to forge your way up the ladder. In order to get there, however,… Read More »How to start a career in data science
In this article, the clustering output results using Spectral clustering (with normalized Laplacian) are going to be compared with taht obtained using KMeans clustering on a few shape datasets. The following couple… Read More »Comparing Spectral partitioning / clustering (with Normalized Graph Laplacian) with KMeans Clustering in R
